scholarly journals State Feedback Control Based Seamless Switch Control for Microgrid Inverter

2021 ◽  
Vol 11 (24) ◽  
pp. 12114
Author(s):  
Yuanjing Zeng ◽  
Xiangjun Quan ◽  
Qinran Hu ◽  
Zhixiang Zou ◽  
Fujin Deng
Keyword(s):  
Complex Variable ◽  
State Feedback ◽  
Control Method ◽  
Research Topic ◽  
State Feedback Control ◽  
Variable Frequency ◽  
Distributed Generations ◽  
Switch Control ◽  
Control Objective ◽  
Instantaneous Voltage

With the wide application of distributed generations (DGs) and microgrids (MGs), the inverter control becomes a hot research topic. For the inverter control in MG applications, first, a complex variable state-feedback-based switch control frame is proposed. In the proposed control frame, the state feedback leads to a generalized control objective (GCO), and then the instantaneous voltage and current controls are designed based on the GCO. Finally, a complex variable frequency-locked loop (FLL) is adopted to realize the voltage and current reference computation. The control system is integrated by complex variables to alleviate the seamless switch. The effectiveness of the proposed control method is validated by experimental results.

Improved State-Feedback Control for Current Source Converter of SMES

2012 ◽  
Vol 512-515 ◽  
pp. 1049-1054 ◽  
Author(s):  
Si Ping Zhou ◽  
Jing Shi ◽  
Tao Jin ◽  
Qing He ◽  
Li Ren ◽  
...  
Keyword(s):  
Control System ◽  
Feedback Control ◽  
State Feedback ◽  
Control Method ◽  
Magnetic Energy ◽  
Current Source ◽  
State Feedback Control ◽  
Discretization Method ◽  
Error Vector ◽  
Current Source Converter

Current source converter (CSC) can control power transfer between superconducting coil and the AC power system, which is the key component of superconducting magnetic energy storage (SMES). This paper presents an improved state-feedback control for CSC of SMES. Adopting the discretization method, the design of decoupled state-feedback control system is simple and straight. To overcome the drawbacks of the discretization method and improve the control system dynamics, the effect of the control time delay is considered. Furthermore, by selecting the current error vector and the output voltage error vector as the additional state variables, a linear state feedback loop is added to the control system to achieve the feature of deadbeat. The steady state performance and dynamic response are investigated. MATLAB simulation is performed to evaluate the performance of the proposed control method.

scholarly journals Mitigation of torsional vibration in large mill drive train system using state feedback control method

2021 ◽  
Author(s):  
Ehsan Al-Nabi
Keyword(s):  
Feedback Control ◽  
Torsional Vibration ◽  
Rolling Mill ◽  
State Feedback ◽  
Control Method ◽  
Dynamic Performance ◽  
Experimental System ◽  
State Feedback Control ◽  
Linear Quadratic ◽  
Single Input Single Output

Torsional vibration limits the speed loop response of industrial drives and servo systems, deteriorating the transient response to speed commands and load disturbances. This thesis presents a damping method for torsional vibration produced by compliant components between the motor and the load in rolling mill applications. The proposed damping algorithm can solve the limitation of the classical damping approaches due to the large values of system time delay. The proposed algorithm is based on State Feedback Control (SFC) method with modified Linear Quadratic Gaussian (LQG) approach using a torque sensor as a feedback element. The result of modification is a low order single-input single-output compensator that mitigates the torsional vibration without affecting the speed loop. The verification of the design and the dynamic performance is accomplished by using time and frequency domain responses with real rolling mill system parameters. The performance of step commands, mitigation of torsional vibration and robustness to parameter variation is satisfied by using the proposed method. Also disturbance rejection performance is improved through load torque compensation. The experiment is performed on a 0.8 KW system with 24 Hz mechanical resonant frequency. Simulation and experimental results from the experimental system verify the proposed damping algorithm.

scholarly journals Mitigation of torsional vibration in large mill drive train system using state feedback control method

2021 ◽  
Author(s):  
Ehsan Al-Nabi
Keyword(s):  
Feedback Control ◽  
Torsional Vibration ◽  
Rolling Mill ◽  
State Feedback ◽  
Control Method ◽  
Dynamic Performance ◽  
Experimental System ◽  
State Feedback Control ◽  
Linear Quadratic ◽  
Single Input Single Output

Torsional vibration limits the speed loop response of industrial drives and servo systems, deteriorating the transient response to speed commands and load disturbances. This thesis presents a damping method for torsional vibration produced by compliant components between the motor and the load in rolling mill applications. The proposed damping algorithm can solve the limitation of the classical damping approaches due to the large values of system time delay. The proposed algorithm is based on State Feedback Control (SFC) method with modified Linear Quadratic Gaussian (LQG) approach using a torque sensor as a feedback element. The result of modification is a low order single-input single-output compensator that mitigates the torsional vibration without affecting the speed loop. The verification of the design and the dynamic performance is accomplished by using time and frequency domain responses with real rolling mill system parameters. The performance of step commands, mitigation of torsional vibration and robustness to parameter variation is satisfied by using the proposed method. Also disturbance rejection performance is improved through load torque compensation. The experiment is performed on a 0.8 KW system with 24 Hz mechanical resonant frequency. Simulation and experimental results from the experimental system verify the proposed damping algorithm.

CHAOS SYNCHRONIZATION IN THE PRESENCE OF NOISE

2011 ◽  
Vol 22 (12) ◽  
pp. 1409-1418 ◽  
Author(s):  
KUAN-YU CHEN ◽  
PI-CHENG TUNG ◽  
SHIH-LIN LIN ◽  
MONG-TAO TSAI
Keyword(s):  
Feedback Control ◽  
White Noise ◽  
Chaos Synchronization ◽  
State Feedback ◽  
Control Method ◽  
Type System ◽  
Chaotic Signal ◽  
State Feedback Control ◽  
Duffing System ◽  
Feedback Control Method

In this paper, we first develop a systematic procedure of state feedback control, based on a Lur'e-type system, to analyze the synchronization of two chaotic systems in the presence of random white noise. With the aid of the modified independent component analysis (ICA), the real chaotic signal can be extracted from a noisy source where the chaotic signal has been contaminated by random white noise. Hence, a new scheme has been proposed in this paper to combine the modified ICA design and the state feedback control method for achieving chaos synchronization. The synchronization time can be arbitrarily designed to guarantee stability, even if the system's output is corrupted by measuring noise. A Duffing system example is provided to show the effectiveness of the proposed scheme. The new scheme is first used for control systems with measurement noise which can replace the conventional Kalman filter.

scholarly journals Distributed Control Design for Structures Subjected to Traveling Loads

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Dominik Pisarski
Keyword(s):  
Distributed Control ◽  
High Performance ◽  
State Feedback ◽  
Control Method ◽  
Life Time ◽  
Open Loop ◽  
Practical Implementation ◽  
Distributed Controller ◽  
Wide Range ◽  
Control Objective

This paper presents a novel distributed control method that adapts the structures subjected to traveling loads. The adaptation is realized by changes of the damping of the structure’s supports. The control objective is to provide smooth passage of vehicles and to extend the safe life-time of the carrying structures. The results presented in the previous works of the author exhibited high performance of supports with an open-loop switching damping policy. In this paper, the goal is to develop a state feedback strategy that is significantly less sensitive to the system parameters and much simpler for practical implementation. Further efforts are put into designing a distributed controller architecture, where only the local and the relevant neighboring states are used to compute the control decisions. The proposed controller is validated experimentally. It exhibits high performance in a wide range of travel speeds. The practicality of the proposed solution should attract the attention of practicing engineers.

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